Nicoleta Sp̂înu

453 total citations
15 papers, 281 citations indexed

About

Nicoleta Sp̂înu is a scholar working on Computational Theory and Mathematics, Small Animals and Molecular Biology. According to data from OpenAlex, Nicoleta Sp̂înu has authored 15 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 3 papers in Small Animals and 3 papers in Molecular Biology. Recurrent topics in Nicoleta Sp̂înu's work include Computational Drug Discovery Methods (12 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Animal testing and alternatives (3 papers). Nicoleta Sp̂înu is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Animal testing and alternatives (3 papers). Nicoleta Sp̂înu collaborates with scholars based in United Kingdom, Italy and Belgium. Nicoleta Sp̂înu's co-authors include M Cronin, Andrew Worth, Judith C. Madden, Steven J. Enoch, Anna Bal‐Price, James W. Firman, Mathieu Vinken, Tamara Vanhaecke, Domenico Gadaleta and Alessandra Roncaglioni and has published in prestigious journals such as Clinical Cancer Research, International Journal of Molecular Sciences and Toxicology.

In The Last Decade

Nicoleta Sp̂înu

13 papers receiving 274 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicoleta Sp̂înu United Kingdom	9	106	102	65	56	26	15	281
Mark Nelms United States	12	106 1.0×	140 1.4×	76 1.2×	80 1.4×	25 1.0×	29	321
Clemens Wittwehr Italy	9	89 0.8×	115 1.1×	65 1.0×	83 1.5×	20 0.8×	20	329
Robert Diderich France	4	102 1.0×	150 1.5×	59 0.9×	53 0.9×	55 2.1×	5	309
Elton Zvinavashe Netherlands	8	139 1.3×	170 1.7×	48 0.7×	48 0.9×	44 1.7×	8	318
Camilla Bernasconi Italy	7	117 1.1×	60 0.6×	75 1.2×	54 1.0×	9 0.3×	14	338
Tommy Cathey United States	7	211 2.0×	163 1.6×	77 1.2×	156 2.8×	44 1.7×	8	467
Sid Hunter United States	4	207 2.0×	133 1.3×	97 1.5×	105 1.9×	31 1.2×	5	419
Parth Kothiya United States	5	197 1.9×	174 1.7×	94 1.4×	156 2.8×	38 1.5×	5	461
Sharon B. Stuard United States	10	66 0.6×	50 0.5×	55 0.8×	105 1.9×	23 0.9×	17	307
William D. Klaren United States	12	146 1.4×	69 0.7×	22 0.3×	113 2.0×	29 1.1×	21	373

Countries citing papers authored by Nicoleta Sp̂înu

Since Specialization

Citations

This map shows the geographic impact of Nicoleta Sp̂înu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicoleta Sp̂înu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicoleta Sp̂înu more than expected).

Fields of papers citing papers by Nicoleta Sp̂înu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicoleta Sp̂înu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicoleta Sp̂înu. The network helps show where Nicoleta Sp̂înu may publish in the future.

Co-authorship network of co-authors of Nicoleta Sp̂înu

This figure shows the co-authorship network connecting the top 25 collaborators of Nicoleta Sp̂înu. A scholar is included among the top collaborators of Nicoleta Sp̂înu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicoleta Sp̂înu. Nicoleta Sp̂înu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Basiri, Hassan, Steven J. Enoch, James W. Firman, et al.. (2025). Moving towards making (quantitative) structure-activity relationships ((Q)SARs) for toxicity-related endpoints findable, accessible, interoperable and reusable (FAIR). ALTEX. 42(4). 657–666.

Sp̂înu, Nicoleta, et al.. (2025). Federation of toxicological data resources for in silico New Approach Methodologies (NAMs). ChemRxiv.

Cronin, M, Hassan Basiri, Steven J. Enoch, et al.. (2024). The predictivity of QSARs for toxicity: Recommendations for improving model performance. Computational Toxicology. 33. 100338–100338. 10 indexed citations

Küçükosmanoğlu, Aslι, Nicoleta Sp̂înu, Georgi K. Kanev, et al.. (2024). A Real-world Toxicity Atlas Shows that Adverse Events of Combination Therapies Commonly Result in Additive Interactions. Clinical Cancer Research. 30(8). 1685–1695. 5 indexed citations

Iurian, Sonia, Cătălina Bogdan, Nicoleta Sp̂înu, et al.. (2024). Design, optimization and pharmaceutical characterization of wound healing film dressings with chloramphenicol and ibuprofen. Drug Development and Industrial Pharmacy. 50(5). 446–459. 4 indexed citations

Cronin, M, Mark Bonnell, Bruno Campos, et al.. (2022). A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties. Regulatory Toxicology and Pharmacology. 135. 105249–105249. 13 indexed citations

Enoch, Steven J., et al.. (2022). A strategy to define applicability domains for read-across. Computational Toxicology. 22. 100220–100220. 6 indexed citations

Gadaleta, Domenico, Nicoleta Sp̂înu, Alessandra Roncaglioni, M Cronin, & Emilio Benfenati. (2022). Prediction of the Neurotoxic Potential of Chemicals Based on Modelling of Molecular Initiating Events Upstream of the Adverse Outcome Pathways of (Developmental) Neurotoxicity. International Journal of Molecular Sciences. 23(6). 3053–3053. 17 indexed citations

Sp̂înu, Nicoleta, et al.. (2021). Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicity. Toxicology. 459. 152856–152856. 26 indexed citations

10.

Sp̂înu, Nicoleta, M Cronin, Junpeng Lao, et al.. (2021). Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network. Computational Toxicology. 21. 100206–100206. 19 indexed citations

11.

Paini, Alicia, Ivana Campia, M Cronin, et al.. (2021). Towards a qAOP framework for predictive toxicology - Linking data to decisions. Computational Toxicology. 21. 100195–100195. 26 indexed citations

12.

Sp̂înu, Nicoleta, M Cronin, Judith C. Madden, & Andrew Worth. (2021). A matter of trust: Learning lessons about causality will make qAOPs credible. Computational Toxicology. 21. 100205–100205. 9 indexed citations

13.

Cronin, M, Nicoleta Sp̂înu, & Andrew Worth. (2021). Will qAOPs modernise toxicology?. Computational Toxicology. 21. 100199–100199. 2 indexed citations

14.

Sp̂înu, Nicoleta, M Cronin, Steven J. Enoch, Judith C. Madden, & Andrew Worth. (2020). Quantitative adverse outcome pathway (qAOP) models for toxicity prediction. Archives of Toxicology. 94(5). 1497–1510. 76 indexed citations

15.

Sp̂înu, Nicoleta, Anna Bal‐Price, M Cronin, et al.. (2019). Development and analysis of an adverse outcome pathway network for human neurotoxicity. Archives of Toxicology. 93(10). 2759–2772. 68 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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